Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add RBraga01/Quality-Engineering-Skills --skill ncr-writinggit clone --depth 1 https://github.com/RBraga01/Quality-Engineering-SkillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/rbraga01/quality-engineering-skills/ncr-writing)<a href="https://agentmods.dev/skills/rbraga01/quality-engineering-skills/ncr-writing"><img src="https://agentmods.dev/badge/skills/rbraga01/quality-engineering-skills/ncr-writing/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/rbraga01/quality-engineering-skills/ncr-writing"><img src="https://agentmods.dev/badge/skills/rbraga01/quality-engineering-skills/ncr-writing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00059 | $0.02213 |
| Opus 5 | $0.00030 | $0.01107 |
| Sonnet 5 | $0.00012 | $0.00443 |
| Haiku 4.5 | $0.00006 | $0.00221 |
Grade A, and why
ncr-writing scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 218 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Non-Conformance Report (NCR) Writing
When to use
Write an NCR whenever a product, material, or service does not conform to a specified requirement:
- Incoming inspection failure
- In-process defect found at any production step
- Final inspection rejection
- Customer return or field complaint
- Audit finding on a product characteristic
The non-negotiable rule
An NCR describes WHAT is wrong, not WHY.
Root cause belongs in the CAPA / 8D. The NCR is the factual record of the non-conformance itself. Mixing root cause speculation into the NCR contaminates the record.
An NCR is a controlled quality record and may be used in audits, customer reviews, and legal contexts. All content must be objective and defensible.
Required NCR Checklist
☐ Requirement clearly referenced (drawing/specification number and revision) ☐ Actual value or observed defect recorded with quantified measurement ☐ Gap between required and actual explicitly defined ☐ Evidence attached or referenced and traceable to this NCR ☐ Severity correctly classified — grade higher when in doubt ☐ Affected quantity and population at risk identified ☐ Material physically segregated and identified before NCR is closed ☐ Detection point reflects where the defect was found, not where it originated ☐ Disposition defined and approved by authorised personnel ☐ Containment actions documented with timestamps (if applicable) ☐ Language is objective — no subjective terms, no root cause, no opinion ☐ NCR traceable to production records, batch records, and inspection logs
NCR structure
1. Header
| Field | Content |
|---|---|
| NCR number | Sequential, traceable |
| Date | Date of detection |
| Part number | Exact part number + revision |
| Part description | Name |
| Supplier / source | Supplier name + supplier code (for incoming) or line/station (for in-process) |
| Batch / lot | Traceability reference |
| Quantity affected | Non-conforming qty / total inspected |
| Detected by | Name + function |
| Detection point | Incoming / in-process station / outgoing / customer |
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 218 lines · 59 tokens per session scan A ffada9637935
ncr-writing is a skill published in the GitHub repository RBraga01/Quality-Engineering-Skills (28 stars, last pushed 2d ago), licensed MIT. It adds 59 tokens to every session and 2,213 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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